Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles
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Bibliographic record
Abstract
Leading edge tubercles have shown to delay stall on subsonic speeds and modify shockwave behaviour at transonic speeds. However, limited knowledge exist to date on the effects of leading edge tubercles in transonic flow. This work explores the aerodynamic shape optimization of the tubercles shape at a freestream flow velocity of Mach 0.82 subject to a target lift coefficient. Results of the optimization effort solving Euler equations shows that a power function shaped tubercle geometry with a specific amplitude and wavelength creates significant cross-flow from the pressure differential between peak and valleys. This reduces the strength of the shockwave and leads to an increase in aerodynamic efficiency up to 15.0%, a decrease in pitching moment up to 15.9%, while suffering minor losses in lift curve slope capability.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it